ce8dd84840
- Omega (Kimi-K2.5): Approval system architecture - design.md: Full system architecture with state machines - api-spec.ts: Express routes + Zod schemas (33KB) - redis-schema.md: Redis key patterns (19KB) - ui-components.md: Dashboard UI specs (31KB) - Epsilon (Nemotron-3-super): Agent configuration UI - AgentWizard: 5-step creation flow - AgentConfigPanel: Parameter tuning - AgentCard: Health monitoring - AgentList: List/grid views - hooks/useAgents.ts: WebSocket integration - types/agent.ts: TypeScript definitions Total: 150KB new code, 22 components 👾 Generated with [Letta Code](https://letta.com)
58 lines
1.8 KiB
Markdown
58 lines
1.8 KiB
Markdown
# Community ADE (Agentic Development Environment)
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A community-driven, open-source agentic development environment built on Letta's stateful agent architecture.
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## Vision
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Build an open-source ADE that combines:
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- **Stateful agents** with hierarchical memory (Letta's unique strength)
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- **Git-native persistence** with MemFS versioning
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- **Persistent task queues** for durable subagent execution
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- **Web dashboard** for real-time monitoring and control
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- **Computer Use** integration for browser automation
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## Differentiation
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Unlike commercial alternatives (Warp, Intent), Community ADE is:
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- **Open source** and self-hostable
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- **Stateful by design** - agents remember across sessions
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- **Model agnostic** - use any OpenAI-compatible API
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- **Git-native** - version control for agent memory
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## Project Structure
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```
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├── src/ # Queue implementation and worker pool
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├── tests/ # Test suite
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├── docs/ # Architecture and design documents
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├── proto/ # Prototypes and experiments
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└── README.md # This file
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```
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## Documentation
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- [Project State](docs/community-ade-project-state.md) - Current status and active subagents
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- [Phase 1 Design](docs/ade-phase1-orchestration-design.md) - Task queue architecture
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- [Redis Queue Design](docs/ade-redis-queue-design.md) - Detailed Redis implementation spec
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- [Research Synthesis](docs/community-ade-research-synthesis-2026-03-18.md) - Competitive analysis
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## Phase 1: Orchestration Layer (In Progress)
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Goals:
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1. ✅ Research and design complete
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2. 🔄 Redis task queue implementation
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3. ⏳ Worker pool with heartbeat
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4. ⏳ Integration with Letta Task tool
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## Quick Start
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Coming soon - queue prototype implementation.
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## License
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MIT - Community contribution welcome.
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---
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*Project orchestrated by Ani, with research and design by specialized subagents.*
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